Your
AI-Native
Product
Copilot

Tula monitors signals from user feedback, analytics tools like Mixpanel, Amplitude, and PostHog, engineering progress, competitor moves, and product health metrics. It identifies trends and anomalies, prioritizes them by urgency and impact, and suggests next steps you can take immediately. You can drill into the context, get deeper analysis, and turn any insight into an actionable ticket in tools like Linear or Monday.com.

Onboarding is hands-on and tailored to your workflow. You get custom setup of sub-agents for your exact needs, integrations with your tools and data sources such as Notion, Slack, and Google Drive, ingestion of your product, market, and user context, workflow customization so Tula fits seamlessly into your processes, and training to get your team productive right away.

Not at all. Tula is designed to complement product managers, not replace them. It takes on repetitive, data-heavy work while humans bring creativity, vision, and emotional intelligence. The best results come from a human–AI partnership: Tula handles the operational load so you can focus on strategy, innovation, and leadership.

Unlike traditional roadmapping or feedback tools, Tula understands data across multiple sources like Mixpanel, PostHog, and Amplitude without heavy setup, gives context-aware insights that factor in strategy, competition, and user behavior, proactively flags opportunities and risks instead of just storing information, pushes actions directly into tools like Linear or Monday.com so insights become execution, and scales to handle huge volumes of feedback, instantly categorizing and prioritizing.

Tula fits into the tools you already use: Web app for a central view of insights and recommendations, Slack for quick questions, updates, and ticket creation, Linear and Notion for in-context analysis and updates, Email to receive structured responses straight to your inbox, Chrome extension for instant access while you browse, and Video calls so you can get live insights and capture action items during meetings.

Tula is designed to evolve with your team. You'll get ongoing guidance, troubleshooting, and customizations from a dedicated support team, along with regular check-ins to make sure the system stays aligned with your goals. As your product and team change, Tula updates its models, sub-agents, and integrations so recommendations remain relevant and impactful. Over time, it becomes more personalized, more insightful, and more valuable—helping you make better decisions and ship faster.

Tula works best for products with complex dependencies and large datasets, teams working in fast-moving or competitive spaces, distributed or cross-functional product orgs, and companies scaling their PM function or going more data-driven.

General AI tools are built to answer any question. Tula is built to move products forward. It offers specialized capabilities like feature impact analysis, product health scoring, and user segmentation, deep integrations with tools like Google Drive, Notion, Slack, and Mixpanel, dedicated UI that's designed for product work—not just chat, and multi-agent orchestration to break down complex product problems into solvable steps.

During setup, Tula reviews your product docs and resources stored in tools like Google Drive and Notion, integrates with systems such as Slack, Linear, and Mixpanel, and talks with stakeholders to capture context and priorities. This information is stored in a secure, private knowledge base that's continuously updated as your product evolves.

Yes. In smaller teams where PM work is split across founders, engineers, and designers, Tula brings consistency, prioritization, and data-driven decision-making. When you hire a PM later, Tula can hand over historical context, decisions, and insights for a smooth transition.

Tula uses a model-agnostic architecture. A central orchestrator picks the best model for each task and delegates to specialized sub-agents tuned for reasoning, speed, analytics, or anomaly detection.